Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add gethouston/houston --skill escribir-mi-outreachgit clone --depth 1 https://github.com/gethouston/houstonWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/gethouston/houston/escribir-mi-outreach)<a href="https://agentmods.dev/skills/gethouston/houston/escribir-mi-outreach"><img src="https://agentmods.dev/badge/skills/gethouston/houston/escribir-mi-outreach/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/gethouston/houston/escribir-mi-outreach"><img src="https://agentmods.dev/badge/skills/gethouston/houston/escribir-mi-outreach.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00103 | $0.02722 |
| Opus 5 | $0.00051 | $0.01361 |
| Sonnet 5 | $0.00021 | $0.00544 |
| Haiku 4.5 | $0.00010 | $0.00272 |
Grade A, and why
escribir-mi-outreach scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Escribir mi outreach
Una sola skill, toda la superficie de outreach. El parámetro stage elige la forma; la coincidencia de voz, la prueba honesta y la disciplina de "nunca inventar una cita" son compartidas.
Parámetro: stage
cold-email, correo de primer contacto fundamentado (máximo 3 párrafos cortos): señal disparadora citada → dolor específico → petición en una línea. Reemplaza el correo genérico de "quién maneja X".cold-script, guion de llamada en frío de 60 a 90 segundos: apertura, interrupción de patrón, 2 preguntas de descubrimiento, CTA suave, mina a evitar.followup, correo de resumen posterior a la llamada más el siguiente paso confirmado, en tu voz. Trae el análisis de la llamada desdecalls/{slug}/.inbound-reply, clasifica el mensaje entrante comointerested/asking-question/objection/not-now/unsubscribe, y redacta la respuesta correcta. Marca limpiamente el spam o la persona equivocada.renewal, agrupa los resultados entregados, las palancas de expansión, y el razonamiento de precios en un borrador de renovación. Nunca compromete precios fuera del playbook.churn-save, un rescate no defensivo. Nombra la señal específica (baja de plan, caída de uso, escalamiento de soporte), ofrece un remedio concreto, propone un siguiente paso con fecha. Sin culpa, sin escasez falsa.
El usuario nombra la etapa en lenguaje simple ("correo en frío", "guion de llamada", "seguimiento", "respuesta", "nota de renovación", "correo de rescate"), y yo la infiero. Si es ambiguo, hago UNA pregunta nombrando las 6 opciones.
Cuándo usarla
- Explícito: cualquier frase disparadora de la descripción.
- Implícito: dentro de
check-my-sales subject=discovery-call(el análisis termina con un seguimiento redactado), dentro descore-my-pipeline subject=customer-health(rojo → churn-save), dentro demanage-my-crm action=route(entrante interesado → cold-email o followup).
Conexiones que necesito
Hago el trabajo externo a través de Composio. Antes de ejecutar esta skill, reviso que las siguientes categorías estén conectadas. Si falta alguna, nombro la categoría, te pido que la conectes desde la pestaña de Integraciones, y me detengo.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 90 lines · 103 tokens per session scan A d7699c495415
escribir-mi-outreach is a skill published in the GitHub repository gethouston/houston (113 stars, last pushed today), licensed MIT. It adds 103 tokens to every session and 2,722 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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